Forge

Development

Code faster. Ship better.

Forge is the AI coding assistant built for enterprise engineering teams. Context-aware, grounded in your codebase, capable of taking full tasks from specification to working code — privately, on your infrastructure.

An AI engineer that knows your system

Forge goes beyond autocomplete. It works with full awareness of your architecture, patterns, and internal standards.

Full codebase context

Forge indexes your entire repository. Every suggestion aligns with your architecture, naming conventions, and existing patterns.

Spec-to-code execution

Provide a feature spec or ticket. Forge plans the implementation, writes the code, generates tests, and explains its approach.

Pull request review

Detects logic issues, security risks, style violations, and missing tests before human review.

Refactoring assistant

Identify technical debt, recommend improvements, and execute refactors with awareness of system-wide impact.

Documentation generator

Auto-generate inline docs, API references, and architecture summaries that stay synchronized with code changes.

Private by design

Runs on NMBLR Core. Your source code never leaves your environment.

0
external
Full
repository context awareness
Built-in
test generation
Real-time
PR review and feedback

AI coding that stays inside your walls

Why Forge over alternatives

vs. GitHub Copilot

Copilot sends your code to Microsoft's cloud. Forge runs privately on your infrastructure. Same capability, total data sovereignty.

vs. Claude Code / Cursor

Excellent tools for individual developers. Forge is built for organizations: with shared context, governance, and managed deployment.

vs. Building in-house

Internal solutions require ongoing maintenance. Forge is a managed platform continuously updated and optimized by NMBLR.

vs. Doing nothing

AI-assisted development is becoming standard. Forge enables your team to move faster without exposing your IP.

Your engineers are ready for this

Forge deploys alongside your existing development workflow. Talk to the team about what an integration looks like for your stack.